data-logger

BME280 Data Logger with faasd

This data logger writes measurements from a Bosch BME280 or BMP280 sensor into a InfluxDB time-series database.

Deployment

You will run faasd on your Raspberry Pi 2, 3 or 4 to store data readings and to run OpenFaaS and Grafana.

On your Raspberry Pi Zero, or whichever host has a sensor connected to it, you'll run the sender app.

Deploy faasd

Deploy faasd to your Raspberry Pi 3 or 4 using these instructions

Customise the password, and update /var/lib/faasd/docker-compose.yaml

  influxdb:
    image: docker.io/library/influxdb:1.8
    environment:
      - INFLUXDB_DB=defaultdb
      - INFLUXDB_ADMIN_USER=admin
      - "INFLUXDB_ADMIN_PASSWORD=PASSWORD"
      - INFLUXDB_USER=user
      - "INFLUXDB_USER_PASSWORD=PASSWORD"
      - INFLUXDB_REPORTING_DISABLED=true
      - INFLUXDB_HTTP_AUTH_ENABLED=true
      - INFLUXDB_HTTP_BIND_ADDRESS=0.0.0.0:8086
    volumes:
      # we assume cwd == /var/lib/faasd
      - type: bind
        source: ./influxdb/
        target: /var/lib/influxdb
    user: "1000" 
    cap_add:
      - CAP_NET_RAW
    ports:
      - "0.0.0.0:8086:8086"

Make a directory for InfluxDB:

mkdir -p /var/lib/faasd/influxdb
chown 1000:1000 /var/lib/faasd/influxdb

Then reload and restart:

sudo systemctl daemon-reload \
  && sudo systemctl restart faasd

Deploy the function

Create a secret for the InfluxDB user:

export PASSWORD=""

faas-cli secret create influx-pass --from-literal $PASSWORD
faas-cli secret create influx-user --from-literal admin

Set the influx_db env-var in stack.yml i.e. 192.168.0.21

Next, deploy the function:

faas-cli deploy

Build if you like:

faas-cli publish -f stack.yml --platforms linux/arm/7

Deploy the sender onto your Raspberry Pi with a sensor

On your Raspberry Pi with the sensor, you'll run the "sender" app.

Enable i2c and change the hostname as required using the raspi-config tool.

If you haven't installed the main growlab app for live-previews, then install the below dependencies:

sudo apt update -qy && \
  sudo apt install -qy python3 \
  i2c-tools \
  python3-pip \
  git \
  tmux

Clone the growlab app:

git clone https://github.com/alexellis/growlab
cd growlab/data-logger/sender/

Install any pip modules required for the sender app:

pip3 install -r requirements.txt

Then run the sender app:

FUNCTION_URL=http://192.168.0.21:8080/function/submit-sample \
  SENSOR=my-shed \
  python3 main.py

Note: if you're using a BMP280 sensor then add an addition environment variable of SENSOR=bmp280

A sensor reading will be submitted to faasd every 30 seconds. You can alter this sample interval by editing sender/main.py.

Going further with a dashboard

Deploy Grafana to faasd using the instructions in the eBook Serverless For Everyone Else

Then create yourself a simple dashboard for the measurements you see in the "readings" database.

Once you have it up and running, create a datasource, then import the dashboard.json file and open the dashboard to view your sensor readings.

My very cold shed - measured overnight!